Applied Scientist Jobs in San Francisco, USA

Looking for an applied scientist job in San Francisco? Choose from 20 open roles at 9 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

20 Open roles
9 Companies hiring
โ€” Average salary

What do Applied scientists in San Francisco work on?

The majority of roles on this page centre on taking ML research from prototype to production: designing models, running experiments, and working alongside engineering teams to ship customer-facing systems. Several postings emphasise natural language processing, and computer vision appears across multiple summaries, including vision-language models for document and video understanding.

The LlamaIndex role focuses on training and fine-tuning vision-language models with attention to benchmarking and synthetic data. The Descript role builds multimodal AI editing features and asks for publications or shipped production work. At the senior end, the Braze Staff Applied Scientist leads an entire ML team's technical direction. More specialist work includes the Amazon Navigation role covering robotic planning and reinforcement learning, and the Amazon quantum computing role designing superconducting circuits. Mentoring junior staff appears in more than one summary.

Skills and experience employers ask for

Skills counts reflect mentions in posting descriptions across all postings on this page, not formal requirements. Python and PhD credentials appear in most postings; PyTorch and model evaluation are mentioned in roughly half. Java and C++ appear at a similar frequency, likely concentrated in the Amazon postings. Computer vision, a publication track record, and agent-based methods each appear in a meaningful minority. The sample is small, so these patterns may not hold across a wider set.

Python 75%
PhD 75%
PyTorch 55%
Evaluation 55%
Java 50%
C\+\+ 50%
Computer vision 45%
Publications 45%
Master's degree 40%
Agents 35%
Statistics 30%
AWS 25%
Reinforcement learning 25%
Recommender systems 25%

Applied Scientist roles that state a salary

The employers' own advertised ranges, for individual roles at different levels โ€” not an average and not a market rate.

San Francisco office, hybrid or remote?

Most postings on this page are listed as onsite, making that the clear default for this role family in this snapshot. A small number are hybrid, and only one is listed as remote. No postings have an unknown work mode, so the picture is unusually complete, though candidates should confirm current arrangements directly with each employer, as advertised modes can change. The single remote posting and the handful of hybrid roles are worth identifying individually in the listings above if flexible working is a priority.

Make your application specific to the work

  1. Review the technical scope Applied scientist postings here vary widely, from robotics and quantum hardware to recommendation systems and generative AI. Read each summary carefully to confirm the domain aligns with your research or engineering background before applying.
  2. Check degree and experience thresholds Several postings state explicit education and experience combinations; for example, one Amazon role accepts a Master's plus two years or a Bachelor's plus five years. Review these criteria in the full posting, as they differ between employers and levels.
  3. Prepare evidence of research output Publications or demonstrably shipped ML work are mentioned as signals of credibility in more than one summary. Gather relevant papers, product references, or equivalent artefacts before completing your application.
  4. Clarify pay and work mode early Only one posting on this page advertises a salary range; all others do not state pay. Work mode is listed for every posting, but hybrid and onsite expectations are worth confirming directly with the employer before progressing.

Questions about Applied Scientist jobs in San Francisco

PhD credentials are mentioned in most postings on this page, but not universally. Some postings, including at least one Amazon role, explicitly offer a Master's degree plus experience as an alternative. Check the specific requirements in each full posting rather than assuming a PhD is mandatory.

Only one posting on this page advertises a pay range: the LlamaIndex Member of Technical Staff, Applied Research role, listed at 180,000โ€“250,000 USD. The remaining postings do not state compensation, so no broader salary pattern can be drawn from this data.

The employers represented in these postings are Amazon, Lyft, LlamaIndex, Descript, Braze, Figma, Salesforce, and Capital One. Amazon accounts for the largest share of postings in this snapshot.

One posting on this page is listed as remote. Most are onsite, and a small number are hybrid. If remote or hybrid working is important, identify those specific postings and confirm the arrangements with the employer directly.

Python is the most frequently mentioned language across these postings, followed by PyTorch as a framework. Java and C++ appear in roughly half the postings, likely concentrated in roles with systems or hardware components. These are mention counts from descriptions, not formal requirements.

Jobs checked 41 minutes ago.